Matthieu Geist
Matthieu Geist
Google Research, Brain Team (on leave of Professor, Université de Lorraine)
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A theory of regularized markov decision processes
M Geist, B Scherrer, O Pietquin
International Conference on Machine Learning, 2160-2169, 2019
Human activity recognition using recurrent neural networks
D Singh, E Merdivan, I Psychoula, J Kropf, S Hanke, M Geist, A Holzinger
International cross-domain conference for machine learning and knowledge …, 2017
Sample-efficient batch reinforcement learning for dialogue management optimization
O Pietquin, M Geist, S Chandramohan, H Frezza-Buet
ACM Transactions on Speech and Language Processing (TSLP) 7 (3), 1-21, 2011
Kalman temporal differences
M Geist, O Pietquin
Journal of artificial intelligence research 39, 483-532, 2010
Algorithmic survey of parametric value function approximation
M Geist, O Pietquin
IEEE Transactions on Neural Networks and Learning Systems 24 (6), 845-867, 2013
User simulation in dialogue systems using inverse reinforcement learning
S Chandramohan, M Geist, F Lefevre, O Pietquin
Twelfth annual conference of the international speech communication association, 2011
Inverse reinforcement learning through structured classification
E Klein, M Geist, B Piot, O Pietquin
NIPS 2012, 1-9, 2012
Approximate modified policy iteration and its application to the game of Tetris.
B Scherrer, M Ghavamzadeh, V Gabillon, B Lesner, M Geist
J. Mach. Learn. Res. 16, 1629-1676, 2015
Off-policy learning with eligibility traces: a survey.
M Geist, B Scherrer
J. Mach. Learn. Res. 15 (1), 289-333, 2014
What matters for on-policy deep actor-critic methods? a large-scale study
M Andrychowicz, A Raichuk, P Stańczyk, M Orsini, S Girgin, R Marinier, ...
International Conference on Learning Representations, 2020
Laugh-aware virtual agent and its impact on user amusement
R Niewiadomski, J Hofmann, J Urbain, T Platt, J Wagner, P Bilal, T Ito, ...
University of Zurich, 2013
Boosted bellman residual minimization handling expert demonstrations
B Piot, M Geist, O Pietquin
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
Bridging the gap between imitation learning and inverse reinforcement learning
B Piot, M Geist, O Pietquin
IEEE transactions on neural networks and learning systems 28 (8), 1814-1826, 2016
A comprehensive reinforcement learning framework for dialogue management optimization
L Daubigney, M Geist, S Chandramohan, O Pietquin
IEEE Journal of Selected Topics in Signal Processing 6 (8), 891-902, 2012
A cascaded supervised learning approach to inverse reinforcement learning
E Klein, B Piot, M Geist, O Pietquin
Joint European conference on machine learning and knowledge discovery in …, 2013
Approximate modified policy iteration
B Scherrer, V Gabillon, M Ghavamzadeh, M Geist
arXiv preprint arXiv:1205.3054, 2012
Sample efficient on-line learning of optimal dialogue policies with kalman temporal differences
O Pietquin, M Geist, S Chandramohan
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
Parametric value function approximation: A unified view
M Geist, O Pietquin
2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2011
Convolutional and recurrent neural networks for activity recognition in smart environment
D Singh, E Merdivan, S Hanke, J Kropf, M Geist, A Holzinger
Towards integrative machine learning and knowledge extraction, 194-205, 2017
Managing uncertainty within the ktd framework
M Geist, O Pietquin
Proceedings of the Workshop on Active Learning and Experimental Design (AL&E …, 2010
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